DocumentCode
757188
Title
Robust estimators of the 2-parameter gamma distribution
Author
Adatia, A.
Author_Institution
Dept. of Math. & Stat., Regina Univ., Sask., Canada
Volume
37
Issue
2
fYear
1988
fDate
6/1/1988 12:00:00 AM
Firstpage
234
Lastpage
238
Abstract
The available estimators for parameters of the gamma distribution are moment estimators, maximum-likelihood estimators, and approximations to the maximum-likelihood estimators. These estimators are not suitable for small samples; however, they are still being used at the present time. The proposed robust estimators for scale and shape parameters are more suitable for small samples. They have RMS (root-mean-square) errors that are considerably smaller than those of the other estimators. In addition, they are easier to calculate, and are therefore appropriate in many applications
Keywords
parameter estimation; reliability theory; statistical analysis; 2-parameter gamma distribution; parameter estimation; reliability; robust estimators; scale parameters; shape parameters; Maximum likelihood estimation; Parameter estimation; Reliability engineering; Reliability theory; Robustness; Root mean square; Shape; Statistical distributions;
fLanguage
English
Journal_Title
Reliability, IEEE Transactions on
Publisher
ieee
ISSN
0018-9529
Type
jour
DOI
10.1109/24.3747
Filename
3747
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